AI 中文总结
针对烟花星系NGC 6946，研究人员利用HST的WFC3/UVIS滤光片测光数据，开发改进的计算机视觉算法识别年轻星团候选体，经人工星团测试及6410个候选体分析，验证了算法性能与候选体光度函数特性。
AI 中文摘要
我们给出了NGC 6946（又称烟花星系）中年轻（≤25 Myr）星团候选体的综合测光、半径及空间分布。NGC 6946是一个恒星形成极为活跃的星系，拥有大量年轻大质量星团。我们开发了一种改进的计算机视觉算法，利用哈勃空间望远镜（HST）广角相机3紫外通道（WFC3/UVIS）F275W和F336W滤光片拍摄的图像测光数据，来识别并勾勒候选星团的轮廓。我们详细描述了该技术，包括用人工星团开展的大量测试：该算法能恢复60.7%的合成星团，在F336W波段光度低至M_F336W ~ -6时，保守假阳性率为27.3%。通过上述算法，我们识别出6410个暗得多（F336W波段光度低至M_F336W ~ -4）的星团候选体，这些候选体更难验证，但其光度函数与斜率约为2的标准幂律一致，仍具有研究价值。
英文摘要
We present the integrated photometry, radii, and spatial distribution of young ($\leq$ 25 Myr) star cluster candidates in NGC 6946. NGC 6946, also known as the Fireworks Galaxy, is a highly star-forming galaxy with numerous young massive clusters. We have developed a modified computer vision algorithm using photometry from images taken with Hubble Space Telescope (HST) Wide Field Camera 3 Ultraviolet channel (WFC3/UVIS) F275W and F336W filters to identify and outline candidate clusters. We describe our technique in detail, including extensive testing with artificial clusters, where the algorithm recovers 60.7% of synthetic clusters and has a conservative false positive rate of 27.3% down to luminosities of M$_{F336W} \sim -6$. We identify 6410 cluster candidates down to much fainter magnitudes (M$_{F336W} \sim -4$) via the aforementioned algorithm which are more difficult to verify, but are still of interest as the luminosity function of these candidates is consistent with a standard power law with a slope of $\sim$2.
Comments15 pages, 9 figures; accepted for publication in The Astrophysical Journal
